Cloud-native computing: A survey from the perspective of services

S Deng, H Zhao, B Huang, C Zhang… - Proceedings of the …, 2024 - ieeexplore.ieee.org
The development of cloud computing delivery models inspires the emergence of cloud-
native computing. Cloud-native computing, as the most influential development principle for …

A comprehensive survey of artificial intelligence and cloud computing applications in the sports industry

A Li, W Huang - Wireless Networks, 2023 - Springer
In recent years, both artificial intelligence (AI) and cloud computing have experienced a
boom across industries, including the sports industry. AI algorithms, machine learning …

A novel short-term traffic prediction model based on SVD and ARIMA with blockchain in industrial internet of Things

Y Miao, X Bai, Y Cao, Y Liu, F Dai… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
With the construction and development of smart cities, accurate and real-time traffic
prediction plays a vital role in urban traffic. However, traffic data has the characteristics of …

SCTD: A spatiotemporal correlation truth discovery scheme for security management of data platform

W Mo, Z Li, Z Zeng, NN Xiong, S Zhang, A Liu - Future generation computer …, 2023 - Elsevier
The continuous development of mobile sensing devices enables them to quickly perceive a
large amount of data, forming a promising mobile crowd sensing (MCS) platform for large …

An accuracy-enhanced group recommendation approach based on DEMATEL

Y Wang, L Qi, R Dou, S Shen, L Hou, Y Liu… - Pattern Recognition …, 2023 - Elsevier
Group recommendations aim to suggest items to a group of users based on their
preferences. Many group recommendations often consider various factors to calculate the …

Adaptive online cache capacity optimization via lightweight working set size estimation at scale

R Gu, S Li, H Dai, H Wang, Y Luo, B Fan… - 2023 USENIX Annual …, 2023 - usenix.org
Big data applications extensively use cache techniques to accelerate data access. A key
challenge for improving cache utilization is provisioning a suitable cache size to fit the …

Time-aware LSTM neural networks for dynamic personalized recommendation on business intelligence

X Yang, JA Esquivel - Tsinghua Science and Technology, 2023 - ieeexplore.ieee.org
Personalized recommendation plays a critical role in providing decision-making support for
product and service analysis in the field of business intelligence. Recently, deep neural …

Research on influencing factors of artificial intelligence multi-cloud scheduling applied talent training based on DEMATEL-TAISM

Y Bian, L Xie, J Li - Journal of Cloud Computing, 2022 - Springer
With the rapid development of Internet of Things (IoT) technology and the rising popularity of
IoT devices, an increasing number of computing intensive IoT applications have been …

Diversity-driven automated web API recommendation based on implicit requirements

H Kou, J Xu, L Qi - Applied Soft Computing, 2023 - Elsevier
With the rapid growth of the web API sharing community, Mashup development has become
a popular way for software developers to quickly create Mashup applications. Mashup …

Fisc: a large-scale cloud-native-oriented file system

Q Li, L Chen, X Wang, S Huang, Q Xiang… - … USENIX Conference on …, 2023 - usenix.org
The wide adoption of Cloud Native shifts the boundary between cloud users and CSPs
(Cloud Service Providers) from VM-based infrastructure to container-based applications …